Estimating Gender Differences in Access to Jobs

Journal article: This paper proposes a new measure of gender differences in access to jobs based on a job assignment model. This measure is the probability ratio of getting a job for a female and a male at each rank of the wage ladder. We derive a nonparametric estimator of this access measure and estimate it for French full-time executives aged 40–45 in the private sector. Our results show that the gender difference in the probability of getting a job increases along the wage ladder from 9% to 50%. Females thus have a significantly lower access to high-paid jobs than to low-paid jobs.

Author(s)

Laurent Gobillon, Dominique Meurs, Sébastien Roux

Journal
  • Journal of Labor Economics
Date of publication
  • 2015
Keywords
  • Job
  • Gender difference
Pages
  • 317 – 363
Version
  • 1
Volume
  • 33